<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Explanation Generation on DyCoAI | AI and Me</title><link>https://www.dycoai.com/tags/explanation-generation/</link><description>Recent content in Explanation Generation on DyCoAI | AI and Me</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 19 Sep 2026 10:05:00 +0800</lastBuildDate><atom:link href="https://www.dycoai.com/tags/explanation-generation/index.xml" rel="self" type="application/rss+xml"/><item><title>Explanation &amp; Rationale Generation as an Agentic Skill</title><link>https://www.dycoai.com/notes/agentic-skill-explanation-and-rationale-generation/</link><pubDate>Sat, 19 Sep 2026 10:05:00 +0800</pubDate><guid>https://www.dycoai.com/notes/agentic-skill-explanation-and-rationale-generation/</guid><description>&lt;p&gt;Making the reasoning behind a conclusion intelligible to human reviewers, &lt;strong&gt;Explanation &amp;amp; Rationale Generation&lt;/strong&gt; is the agentic skill through which an AI agent articulates, in human-understandable terms, how a particular conclusion, recommendation, or output was reached.&lt;/p&gt;
&lt;p&gt;Its primary function is to reconstruct and communicate the logical chain, evidence considered, assumptions made, and criteria applied in arriving at the agent&amp;rsquo;s output, thereby rendering otherwise opaque computational decisions more transparent and auditable.&lt;/p&gt;</description></item></channel></rss>